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Graduate Course Proposal Form Submission Detail - MAE6137
Tracking Number - 1986

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Current Status: Approved, Permanent Archive - 2004-07-02
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Detail Information

  1. Date & Time Submitted: 2004-02-17
  2. Department: Secondary Education
  3. College: ED
  4. Budget Account Number: 172400000
  5. Contact Person: Denisse Thompson
  6. Phone: 42687
  7. Email: thompson@tempest.coedu.usf.edu
  8. Prefix: MAE
  9. Number: 6137
  10. Full Title: Probability and Statistics for Middle Grades Teachers
  11. Credit Hours: 3
  12. Section Type: C - Class Lecture (Primarily)
  13. Is the course title variable?: N
  14. Is a permit required for registration?: N
  15. Are the credit hours variable?: N
  16. Is this course repeatable?:
  17. If repeatable, how many times?: 0
  18. Abbreviated Title (30 characters maximum): Prob/Stat Mid Grades Tchrs
  19. Course Online?: -
  20. Percentage Online:
  21. Grading Option: R - Regular
  22. Prerequisites: Admission to the MAT program in middle grades mathematics or CI.
  23. Corequisites:
  24. Course Description: This course examines probability and statistics topics for middle grades mathematics teachers. Topics include data collection and display, measures of central tendency and variability, probabilities, and sampling procedures.

  25. Please briefly explain why it is necessary and/or desirable to add this course: Data analysis and probability is one of the five strands in the Sunshine State Standards. Middle grades teachers need a strong conceptual understanding of statistics and probability in order to teach the appropriate content from this strand in the middle
  26. What is the need or demand for this course? (Indicate if this course is part of a required sequence in the major.) What other programs would this course service? This course is required in the MAT in Middle Grades Mathematics.
  27. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? 1 (Summer 1994)
  28. What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) Doctorate in mathematics education
  29. Objectives: 1. The ability to define probability and statistics;

    2. The ability to display data using a variety of graphical displays (bar, line, picture, circle, scatterplot, box and whisker, stem and leaf);

    3. The ability to identify measures of central tendency and situations in which they are appropriate;

    4. The ability to identify measures of variability and use such measures to interpret results;

    5. The ability to find probabilities of independent and dependent events and to use tree diagrams to find probabilities;

    6. The ability to find combinations or permutations as appropriate for the situation;

    7. The ability to design an experiment or simulation, collect data, and interpret the results;

    8. The ability to discuss different sampling procedures, including the use of random samples;

    9. Knowledge of major historical developments in statistics and probability.

  30. Learning Outcomes: Exams or tests will evaluate students' content knowledge on the major content topics in the course. Students will have to pass the final, comprehensive exam in order to pass the course.

    Problem sets will evaluate students' ability to explore open and extended problems.

    Historical paper will give students an opportunity to explore the historical background of a topic from statistics and/or probability.

    External project will have students engage in a statistics or probability project of the instructor's design or of their own approved design.

    A journal will provide on-going evaluation of students' facility with the content of the course and emphasize the importance of writing throughout the curriculum.

  31. Major Topics: 1. Definitions of probability and statistics

    2. Displaying data on graphs (bar, line, picture, circle, scatterplot, box and whisker, stem and leaf)

    3. Measures of central tendency

    4. Measures of variability

    5. Using tree diagrams to find probabilities

    6. Finding probability of independent events

    7. Finding probability of dependent events

    8. Finding combinations and permutations

    9. Using statistics to predict from samples

    10. Sampling procedures random samples as a focus

    11. Using computer simulations

    12. Historical connections to statistics and probability

  32. Textbooks: Sample Text: Probability and Statistics Connections. University of Missouri-Columbia. (Draft). To be published by Prentice Hall with 2005 copyright. This college-level text was developed as part of the Connecting Middle School and College Mathematics project funded by the National Science Foundation.

    Supplemental texts: The following units from the Connected Mathematics Project are possible texts.

    Data About Us

    How Likely Is It?

    What Do You Expect?

    Clever Counting

    (Glenda Lappan, James T. Fey, William M. Fitzgerald, Susan N. Friel, and Elizabeth Difanis Phillips. Menlo Park, C

  33. Course Readings, Online Resources, and Other Purchases:
  34. Student Expectations/Requirements and Grading Policy:
  35. Assignments, Exams and Tests:
  36. Attendance Policy:
  37. Policy on Make-up Work:
  38. Program This Course Supports:
  39. Course Concurrence Information:


- if you have questions about any of these fields, please contact chinescobb@grad.usf.edu or joe@grad.usf.edu.